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Machine learning

Android malware detection method based on highly distinguishable static features and DenseNet

Jiyun Yang, Zhibo Zhang, Heng Zhang, JiaWen Fan

published 23 Nov 2022

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Communication-efficient algorithms for solving pressure Poisson equation for multiphase flows using parallel computers

Soumyadip Ghosh, Jiacai Lu, Vijay Gupta, Gretar Tryggvason

published 22 Nov 2022

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Rice nitrogen nutrition monitoring classification method based on the convolution neural network model: Direct detection of rice nitrogen nutritional status

Qiang Zhai, Chun Ye, Shuang Li, Jizhong Liu, Zhiming Guo, Ruzhi Chang, Jing Hua

published 22 Nov 2022

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SCGG: A deep structure-conditioned graph generative model

Faezeh Faez, Negin Hashemi Dijujin, Mahdieh Soleymani Baghshah, Hamid R. Rabiee

published 21 Nov 2022

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Risk stratification with explainable machine learning for 30-day procedure-related mortality and 30-day unplanned readmission in patients with peripheral arterial disease

Meredith Cox, J. C. Panagides, Azadeh Tabari, Sanjeeva Kalva, Jayashree Kalpathy-Cramer, Dania Daye

published 21 Nov 2022

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Artificial intelligence-based analytics for impacts of COVID-19 and online learning on college students’ mental health

Mostafa Rezapour, Scott K. Elmshaeuser

published 18 Nov 2022

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Identifying psychiatric diagnosis from missing mood data through the use of log-signature features

Yue Wu, Guy M. Goodwin, Terry Lyons, Kate E. A. Saunders

published 17 Nov 2022

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Early detection of norovirus outbreak using machine learning methods in South Korea

Sieun Lee, Eunhae Cho, Geunsoo Jang, Sangil Kim, Giphil Cho

published 16 Nov 2022

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Correlates of wanting to seek help for mental health and substance use concerns by sexual and gender minority young adults during the COVID-19 pandemic: A machine learning analysis

Anasua Kundu, Rui Fu, Daniel Grace, Carmen H. Logie, Alex Abramovich, Bruce Baskerville, Christina Yager, Robert Schwartz, Nicholas Mitsakakis, Lynn Planinac, Michael Chaiton

published 16 Nov 2022

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Machine learning based multi-modal prediction of future decline toward Alzheimer’s disease: An empirical study

Batuhan K. Karaman, Elizabeth C. Mormino, Mert R. Sabuncu, for the Alzheimer’s Disease Neuroimaging Initiative

published 16 Nov 2022

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Calibrated bagging deep learning for image semantic segmentation: A case study on COVID-19 chest X-ray image

Lucy Nwosu, Xiangfang Li, Lijun Qian, Seungchan Kim, Xishuang Dong

published 16 Nov 2022

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Multicenter validation of a machine learning phase space electro-mechanical pulse wave analysis to predict elevated left ventricular end diastolic pressure at the point-of-care

Sanjeev P. Bhavnani, Rola Khedraki, Travis J. Cohoon, Frederick J. Meine III, Thomas D. Stuckey, Thomas McMinn, Jeremiah P. Depta, Brett Bennett, Thomas McGarry, William Carroll, David Suh, John A. Steuter, Michael Roberts, Horace R. Gillins, Ian Shadforth, Emmanuel Lange, Abhinav Doomra, Mohammad Firouzi, Farhad Fathieh, Timothy Burton, Ali Khosousi, Shyam Ramchandani, William E. Sanders Jr., Frank Smart

published 15 Nov 2022

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Activating discipline specific thinking with adaptive learning: A digital tool to enhance learning in chemistry

Paulette Vincent-Ruz, Nathan R. B. Boase

published 15 Nov 2022

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